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Trinity Large Thinking vs Mistral Small 3.1 24B

Mistral Small 3.1 24B costs 1.4x less per output token than Trinity Large Thinking ($0.555 vs $0.80 per million). Updated October 21, 2026; 28 benchmarks have a result for both.

Replace Trinity Large Thinking Replace Mistral Small 3.1 24B
Trinity Large ThinkingArcee AI
Coding
No data
Overall
10.8
Output $/M
$0.80
28
Mistral Small 3.1 24BMistral AI
Coding
No data
Overall
No data
Output $/M
$0.555
0
vs boards won of 28 shared

Trinity Large Thinking or Mistral Small 3.1 24B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Trinity Large Thinking for a larger context window (262K against 128K tokens).

Model ATrinity Large ThinkingArcee AINot benchmarked1 independent benchmarkNo cost per solved taskModel BMistral Small 3.1 24BMistral AINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
28
Trinity Large Thinking only
24
Mistral Small 3.1 24B only
10
Like-for-like categories
5 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Trinity Large Thinking not benchmarked, Mistral Small 3.1 24B not benchmarked.
Widest category
Math, 15.2 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Chinese: Trinity Large Thinking 1371 against Mistral Small 3.1 24B 1253, 19.8 points apart on a 0 to 100 scale.
Output price
Trinity Large Thinking $0.80 against Mistral Small 3.1 24B $0.555 per million output tokens, 1.4x apart.
Context window
Trinity Large Thinking takes 262K tokens, Mistral Small 3.1 24B 128K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryTrinity Large ThinkingBarsMistral Small 3.1 24BTies
Coding20
Reasoning30
Math20
Knowledge40
General170
All shared boards280
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Trinity Large Thinking and Mistral Small 3.1 24B
BenchmarkTrinity Large ThinkingMistral Small 3.1 24BLeader
LMArena WebDev1238Not measuredOnly Trinity Large Thinking measured
AA Coding Index25.8Not measuredOnly Trinity Large Thinking measured
SciCode40.6%Not measuredOnly Trinity Large Thinking measured
Terminal-Bench Hard (Artificial Analysis run)22.7%Not measuredOnly Trinity Large Thinking measured
LMArena Text: coding13571309Trinity Large Thinking
LMArena Text: software and IT13621301Trinity Large Thinking
LMArena WebDev: React1231Not measuredOnly Trinity Large Thinking measured
LMArena WebDev: HTML1240Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 30 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Trinity Large Thinking and Mistral Small 3.1 24B
BenchmarkTrinity Large ThinkingMistral Small 3.1 24BLeader
AA Intelligence Index10.8Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Agentic work benchmarks for Trinity Large Thinking and Mistral Small 3.1 24B
BenchmarkTrinity Large ThinkingMistral Small 3.1 24BLeader
AA Agentic Index1.0Not measuredOnly Trinity Large Thinking measured
τ²-Bench Telecom90.1%Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Trinity Large Thinking and Mistral Small 3.1 24B
BenchmarkTrinity Large ThinkingMistral Small 3.1 24BLeader
GPQA Diamond (Artificial Analysis run)75.2%Not measuredOnly Trinity Large Thinking measured
Humanity's Last Exam (Artificial Analysis run)15.8%Not measuredOnly Trinity Large Thinking measured
LMArena Text: hard prompts13421278Trinity Large Thinking
LMArena Text: expert13591257Trinity Large Thinking
LMArena Text: hard prompts in English13561290Trinity Large Thinking
LMArena Vision: diagramsNot measured1119Only Mistral Small 3.1 24B measured
LMArena Vision: homeworkNot measured1158Only Mistral Small 3.1 24B measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Trinity Large Thinking and Mistral Small 3.1 24B
BenchmarkTrinity Large ThinkingMistral Small 3.1 24BLeader
LMArena Text: math13651261Trinity Large Thinking
LMArena Text: mathematical work13501271Trinity Large Thinking
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Trinity Large Thinking and Mistral Small 3.1 24B
BenchmarkTrinity Large ThinkingMistral Small 3.1 24BLeader
CaseLaw (Vals AI)57.9%Not measuredOnly Trinity Large Thinking measured
CorpFin (Vals AI)54.7%Not measuredOnly Trinity Large Thinking measured
LMArena Text: science13551265Trinity Large Thinking
LMArena Text: medicine and healthcare13491267Trinity Large Thinking
LMArena Text: legal and government13451271Trinity Large Thinking
LMArena Text: business and finance13291257Trinity Large Thinking
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Trinity Large Thinking and Mistral Small 3.1 24B
BenchmarkTrinity Large ThinkingMistral Small 3.1 24BLeader
Design Arena: websites1137Not measuredOnly Trinity Large Thinking measured
Design Arena: UI components1045Not measuredOnly Trinity Large Thinking measured
Design Arena: game dev1079Not measuredOnly Trinity Large Thinking measured
Design Arena: data viz1098Not measuredOnly Trinity Large Thinking measured
Design Arena: 3D1082Not measuredOnly Trinity Large Thinking measured
Design Arena: all code categories1117Not measuredOnly Trinity Large Thinking measured
Design Arena: SVG1017Not measuredOnly Trinity Large Thinking measured
Design Arena: ASCII art1041Not measuredOnly Trinity Large Thinking measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Trinity Large Thinking and Mistral Small 3.1 24B
BenchmarkTrinity Large ThinkingMistral Small 3.1 24BLeader
IFBench56.3%Not measuredOnly Trinity Large Thinking measured
Long context reasoning (AA-LCR)38.0%Not measuredOnly Trinity Large Thinking measured
Surface Evolver Bench15.6%Not measuredOnly Trinity Large Thinking measured
LMArena Text13401277Trinity Large Thinking
LMArena Text: instruction following13261263Trinity Large Thinking
LMArena Text: creative writing13081252Trinity Large Thinking
LMArena VisionNot measured1136Only Mistral Small 3.1 24B measured
LMArena Text: English13561295Trinity Large Thinking
LMArena Text: non-English13251255Trinity Large Thinking
LMArena Text: Chinese13711253Trinity Large Thinking
LMArena Text: German13561266Trinity Large Thinking
LMArena Text: Japanese13121208Trinity Large Thinking
LMArena Text: Korean13061207Trinity Large Thinking
LMArena Text: French13661273Trinity Large Thinking
LMArena Text: Spanish13271284Trinity Large Thinking
LMArena Text: Russian13381263Trinity Large Thinking
LMArena Text: Polish13121242Trinity Large Thinking
LMArena Text: multi-turn13201270Trinity Large Thinking
LMArena Text: longer queries13181299Trinity Large Thinking
LMArena Text: writing and language13171268Trinity Large Thinking
LMArena Text: entertainment and media12961250Trinity Large Thinking
LMArena Vision: EnglishNot measured1157Only Mistral Small 3.1 24B measured
LMArena Vision: ChineseNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: reading textNot measured1132Only Mistral Small 3.1 24B measured
LMArena Vision: humorNot measured1142Only Mistral Small 3.1 24B measured
LMArena Vision: captioningNot measured1153Only Mistral Small 3.1 24B measured
LMArena Vision: recognizing thingsNot measured1155Only Mistral Small 3.1 24B measured
LMArena Vision: creative writingNot measured1123Only Mistral Small 3.1 24B measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Trinity Large Thinking and Mistral Small 3.1 24B
BenchmarkTrinity Large ThinkingMistral Small 3.1 24BLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Trinity Large Thinking$0.0006Fits in one request
Mistral Small 3.1 24B$0.0006Fits in one request

Mistral Small 3.1 24B costs less

Repository review

50K input + 3K output tokens

Trinity Large Thinking$0.015Fits in one request
Mistral Small 3.1 24B$0.019Fits in one request

Trinity Large Thinking costs less

Agent loop

200K input + 10K output tokens

Trinity Large Thinking$0.058Fits in one request
Mistral Small 3.1 24B$0.076Exceeds the context window

Trinity Large Thinking costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Trinity Large Thinking and Mistral Small 3.1 24B
SpecificationArcee AI Trinity Large ThinkingMistral Small 3.1 24B
MakerArcee AIMistral AI
WeightsOpen weightsOpen weights
ReleasedApril 1, 2026March 17, 2025
Context window262K128K
Input $/Mtok$0.25$0.351
Output $/Mtok$0.80$0.555
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Trinity Large Thinking better than Mistral Small 3.1 24B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Trinity Large Thinking for a larger context window (262K against 128K tokens).

Which is cheaper, Trinity Large Thinking or Mistral Small 3.1 24B?

Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Mistral Small 3.1 24B costs $0.351 and $0.555. Cost per solved task is known for neither of them.

Which has the bigger context window, Trinity Large Thinking or Mistral Small 3.1 24B?

Trinity Large Thinking, with 262K tokens against 128K.

How many benchmarks is the Trinity Large Thinking vs Mistral Small 3.1 24B comparison based on?

28 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Mistral Small 3.1 24B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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